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Now showing items 31-40 of 40
Compensating the lack of big data in construction industry with expert knowledge: a case study
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2022, 2022)
Due to various reasons, there is a lack of big data in the construction industry, one of the main obstacles to a broader implementation of AI. Another obstacle is adhering to analytical methods in fields more suitable for ...
Geometry as a common ground for BMS and BIM
(IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures, 2022)
Bridge Management Systems (BMSs) are sophisticated software tools, widely used for managing bridges. Comprising a centralized database of all relevant information for the entire bridge stock and analytics to forecast ...
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...
Application of unstructured text based features in prediction of real estate prices: A comparative study
(2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2023, 2023)
This study demonstrates the potential of application of unstructured textual data for predicting
real estate prices and compares different protocols for extracting features from textual data.
Performance of the different ...
COVID-19 Struggle and Post-COVID-19 Recovery: Exploring the Governance, Success, and Digital Transition in Construction Projects in Serbia
(Sustainability, 2023)
Construction, one of the largest global economic sectors, has been severely challenged by the economic uncertainties brought on by COVID-19. Since 2020, pandemic-related disruptions and remedial measures have made its ...
Multi-Objective Optimization Model for The Selection of Measures for Energy Efficient Retrofitting of Building Envelopes
(Proceedings of International Scientific Conference Energy Efficiency and the Fourth Industrial Revolution, 2021)
Within this paper, a multi-criteria decision-making model for evaluating the energy efficiency of building construction measures for new or existing buildings will be presented. The proposed model observes the optimization ...
Urban Energy Mapping: Best Practices and Perspectives of Implementation and Application in Serbia
(The University of Niš, Faculty of Mechanical Engineering, Department of Thermal Engineering and Society of Thermal Engineers of Serbia, 2022)
Primena AHP metode višekriterijumske optimizacije za izbor krana na velikim investicionim projektima
(Univerzitet u Beogradu, Saobraćajni fakultet, 2020)
Izbor krana na velikim investicionim projektima predstavlja rizičnu aktivnost za postizanje osnovnih
ciljeva projeka. Kao posledica lošeg izbora krana mogu se javiti kašnjenja zbog loše organizacije, kao i prekoračenje ...
Experimental determination of dynamic parameters of heat passage through the facade wall of a weekend cottage on mountain Kopaonik, Serbia
(Faculty of civil engineering and architecture / University of Niš and Serbian academy of sciences and arts - branch in Niš, 2023)
In this paper, using a dynamic RC model for heat transfer in a room on the ground floor,
the three-time constants of heat transfer that corresponds to the different parts of a
weekend cottage on Kopaonik were determined. ...
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
(Sustainability, 2022)
Due to numerous reasons, construction projects often fail to achieve the planned duration. Detecting causes of delays (CoD) is the first step in eliminating or mitigating potential delays in future projects. The goal of ...